rtruncated_normal: Truncated Normal Distribution Sampling Algorithm
In schoi355/gmwm: Generalized Method of Wavelet Moments
rtruncated_normal R Documentation
Truncated Normal Distribution Sampling Algorithm
Description
Enables sampling from a truncated normal
Usage
rtruncated_normal(n, mu, sigma, a, b)
Arguments
n
An unsigned int indicating the number of observations to generate.
mu
A double indicating the mean of the normal.
sigma
A double indicating the standard deviation of the normal.
a
A double that is the lower bound of the truncated normal.
b
A double that is the upper bound of the truncated normal.
Examples
rtruncated_normal(10, 1, 1, -2, 2)
schoi355/gmwm documentation built on April 11, 2022, 1:21 a.m.
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| rtruncated_normal | R Documentation |
Truncated Normal Distribution Sampling Algorithm
Description
Enables sampling from a truncated normal
Usage
rtruncated_normal(n, mu, sigma, a, b)
Arguments
n |
An |
mu |
A |
sigma |
A |
a |
A |
b |
A |
Examples
rtruncated_normal(10, 1, 1, -2, 2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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